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Motion Detection of Webcam Using Frame Differencing Method

机译:使用帧差异方法的网络摄像机的运动检测

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It is the capability of humans and as well as vehicles to automatically detect object level motion that results into collision less navigation and also provides sense of situation. This paper presents a technique for secure object level motion detection which yields more accurate results. To achieve this, python code has been used along with various machine learning libraries. The detection algorithm uses the advantage of background subtraction and fed in data to detect even the slightest movement this system makes use of a webcam to scan a premise and detect movement of any sort; on the recognition of any activity it immediately sends an alert message to the owner of the system via mail. Any person requiring a surveillance system can use it.
机译:它是人类的能力以及车辆自动检测对象级运动,导致碰撞导航并提供局势感。 本文介绍了一种用于安全对象级运动检测的技术,其产生更准确的结果。 为此,Python代码已与各种机器学习库一起使用。 检测算法利用背景减法的优点,并在数据中馈送数据以检测该系统使用网络摄像头来扫描前提并检测任何排序的移动的易移动; 在识别任何活动时,它立即通过邮件向系统的所有者发送警报消息。 任何需要监视系统的人都可以使用它。

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